Evaluating soil moisture content under maize coverage using UAV multimodal data by machine learning algorithms-Reference-Cited by-同舟云学术

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Evaluating soil moisture content under maize coverage using UAV multimodal data by machine learning algorithms

Published:2023-02 Issue: Volume:617 Page:129086
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Zhang Yu,Han Wenting,Zhang Huihui,Niu Xiaotao,Shao Guomin

Funder

National Natural Science Foundation of China

Key Research and Development Projects of Shaanxi Province

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference55 articles.

1. Non-invasive water content estimation in a tuff wall by DTS;Agliata;Constr. Build. Mater.,2019

2. Integrating deficit irrigation into surface and subsurface drip irrigation as a strategy to save water in arid regions;Al-Ghobari;Agric. Water Manag.,2018

3. Estimation of root zone soil moisture from ground and remotely sensed soil information with multisensor data fusion and automated machine learning;Babaeian;Remote Sens. Environ.,2021

4. Color index based thresholding method for background and foreground segmentation of plant images;Castillo-Martínez;Comput. Electron. Agric.,2020

5. Global-scale evaluation of SMAP, SMOS and ASCAT soil moisture products using triple collocation;Chen;Remote Sens. Environ.,2018

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3. Estimation of Soil Moisture during Different Growth Stages of Summer Maize under Various Water Conditions Using UAV Multispectral Data and Machine Learning;Agronomy;2024-09-03

4. Estimation of soil moisture in drip-irrigated citrus orchards using multi-modal UAV remote sensing;Agricultural Water Management;2024-09

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